Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 5851 |
| Missing cells | 576 |
| Missing cells (%) | 0.7% |
| Duplicate rows | 2 |
| Duplicate rows (%) | < 0.1% |
| Total size in memory | 685.8 KiB |
| Average record size in memory | 120.0 B |
Variable types
| Categorical | 7 |
|---|---|
| Numeric | 8 |
locationcountry has constant value "US" | Constant |
| Dataset has 2 (< 0.1%) duplicate rows | Duplicates |
locationcity has a high cardinality: 971 distinct values | High cardinality |
vehiclemake has a high cardinality: 54 distinct values | High cardinality |
vehiclemodel has a high cardinality: 526 distinct values | High cardinality |
renterTripsTaken is highly correlated with reviewCount | High correlation |
reviewCount is highly correlated with renterTripsTaken | High correlation |
Mean is highly correlated with Median and 1 other fields | High correlation |
Median is highly correlated with Mean and 1 other fields | High correlation |
Stdev is highly correlated with Mean and 1 other fields | High correlation |
renterTripsTaken is highly correlated with reviewCount | High correlation |
reviewCount is highly correlated with renterTripsTaken | High correlation |
Mean is highly correlated with Median and 1 other fields | High correlation |
Median is highly correlated with Mean and 1 other fields | High correlation |
Stdev is highly correlated with Mean and 1 other fields | High correlation |
renterTripsTaken is highly correlated with reviewCount | High correlation |
reviewCount is highly correlated with renterTripsTaken | High correlation |
Mean is highly correlated with Median and 1 other fields | High correlation |
Median is highly correlated with Mean and 1 other fields | High correlation |
Stdev is highly correlated with Mean and 1 other fields | High correlation |
Mean is highly correlated with Median and 2 other fields | High correlation |
Median is highly correlated with Mean and 2 other fields | High correlation |
reviewCount is highly correlated with renterTripsTaken | High correlation |
ratedaily is highly correlated with vehiclemake | High correlation |
vehicletype is highly correlated with vehiclemake | High correlation |
renterTripsTaken is highly correlated with reviewCount | High correlation |
State_ab is highly correlated with Mean and 2 other fields | High correlation |
vehiclemake is highly correlated with ratedaily and 2 other fields | High correlation |
fuelType is highly correlated with vehiclemake | High correlation |
Stdev is highly correlated with Mean and 2 other fields | High correlation |
vehicletype is highly correlated with locationcountry | High correlation |
locationcountry is highly correlated with vehicletype and 3 other fields | High correlation |
State_ab is highly correlated with locationcountry | High correlation |
vehiclemake is highly correlated with locationcountry and 1 other fields | High correlation |
fuelType is highly correlated with locationcountry and 1 other fields | High correlation |
fuelType has 75 (1.3%) missing values | Missing |
rating has 501 (8.6%) missing values | Missing |
renterTripsTaken has 431 (7.4%) zeros | Zeros |
reviewCount has 501 (8.6%) zeros | Zeros |
Reproduction
| Analysis started | 2021-10-12 20:48:47.841235 |
|---|---|
| Analysis finished | 2021-10-12 20:49:02.310394 |
| Duration | 14.47 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 46 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 45.8 KiB |
| CA | |
|---|---|
| FL | |
| TX | |
| CO | 238 |
| NV | 233 |
| Other values (41) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 11702 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | WA |
|---|---|
| 2nd row | NM |
| 3rd row | NM |
| 4th row | NM |
| 5th row | NM |
Common Values
| Value | Count | Frequency (%) |
| CA | 966 | |
| FL | 836 | |
| TX | 499 | 8.5% |
| CO | 238 | 4.1% |
| NV | 233 | 4.0% |
| GA | 230 | 3.9% |
| AZ | 223 | 3.8% |
| NC | 219 | 3.7% |
| NJ | 211 | 3.6% |
| HI | 200 | 3.4% |
| Other values (36) | 1996 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ca | 966 | |
| fl | 836 | |
| tx | 499 | 8.5% |
| co | 238 | 4.1% |
| nv | 233 | 4.0% |
| ga | 230 | 3.9% |
| az | 223 | 3.8% |
| nc | 219 | 3.7% |
| nj | 211 | 3.6% |
| hi | 200 | 3.4% |
| Other values (36) | 1996 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 1984 | |
| C | 1506 | |
| L | 1032 | |
| N | 1001 | |
| T | 839 | 7.2% |
| F | 836 | 7.1% |
| O | 609 | 5.2% |
| I | 539 | 4.6% |
| X | 499 | 4.3% |
| M | 406 | 3.5% |
| Other values (14) | 2451 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 11702 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 1984 | |
| C | 1506 | |
| L | 1032 | |
| N | 1001 | |
| T | 839 | 7.2% |
| F | 836 | 7.1% |
| O | 609 | 5.2% |
| I | 539 | 4.6% |
| X | 499 | 4.3% |
| M | 406 | 3.5% |
| Other values (14) | 2451 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 11702 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 1984 | |
| C | 1506 | |
| L | 1032 | |
| N | 1001 | |
| T | 839 | 7.2% |
| F | 836 | 7.1% |
| O | 609 | 5.2% |
| I | 539 | 4.6% |
| X | 499 | 4.3% |
| M | 406 | 3.5% |
| Other values (14) | 2451 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11702 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 1984 | |
| C | 1506 | |
| L | 1032 | |
| N | 1001 | |
| T | 839 | 7.2% |
| F | 836 | 7.1% |
| O | 609 | 5.2% |
| I | 539 | 4.6% |
| X | 499 | 4.3% |
| M | 406 | 3.5% |
| Other values (14) | 2451 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 75 |
| Missing (%) | 1.3% |
| Memory size | 45.8 KiB |
| GASOLINE | |
|---|---|
| ELECTRIC | |
| HYBRID | 274 |
| DIESEL | 70 |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 7.880886427 |
| Min length | 6 |
Characters and Unicode
| Total characters | 45520 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | ELECTRIC |
|---|---|
| 2nd row | ELECTRIC |
| 3rd row | HYBRID |
| 4th row | GASOLINE |
| 5th row | GASOLINE |
Common Values
| Value | Count | Frequency (%) |
| GASOLINE | 4810 | |
| ELECTRIC | 622 | 10.6% |
| HYBRID | 274 | 4.7% |
| DIESEL | 70 | 1.2% |
| (Missing) | 75 | 1.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| gasoline | 4810 | |
| electric | 622 | 10.8% |
| hybrid | 274 | 4.7% |
| diesel | 70 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| E | 6194 | |
| I | 5776 | |
| L | 5502 | |
| S | 4880 | |
| G | 4810 | |
| A | 4810 | |
| O | 4810 | |
| N | 4810 | |
| C | 1244 | 2.7% |
| R | 896 | 2.0% |
| Other values (5) | 1788 | 3.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 45520 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 6194 | |
| I | 5776 | |
| L | 5502 | |
| S | 4880 | |
| G | 4810 | |
| A | 4810 | |
| O | 4810 | |
| N | 4810 | |
| C | 1244 | 2.7% |
| R | 896 | 2.0% |
| Other values (5) | 1788 | 3.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 45520 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| E | 6194 | |
| I | 5776 | |
| L | 5502 | |
| S | 4880 | |
| G | 4810 | |
| A | 4810 | |
| O | 4810 | |
| N | 4810 | |
| C | 1244 | 2.7% |
| R | 896 | 2.0% |
| Other values (5) | 1788 | 3.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 45520 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| E | 6194 | |
| I | 5776 | |
| L | 5502 | |
| S | 4880 | |
| G | 4810 | |
| A | 4810 | |
| O | 4810 | |
| N | 4810 | |
| C | 1244 | 2.7% |
| R | 896 | 2.0% |
| Other values (5) | 1788 | 3.9% |
| Distinct | 80 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 501 |
| Missing (%) | 8.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.920325234 |
| Minimum | 1 |
|---|---|
| Maximum | 5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 4.67 |
| Q1 | 4.9 |
| median | 5 |
| Q3 | 5 |
| 95-th percentile | 5 |
| Maximum | 5 |
| Range | 4 |
| Interquartile range (IQR) | 0.1 |
Descriptive statistics
| Standard deviation | 0.182425257 |
|---|---|
| Coefficient of variation (CV) | 0.0370758534 |
| Kurtosis | 132.1368328 |
| Mean | 4.920325234 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -8.54633606 |
| Sum | 26323.74 |
| Variance | 0.03327897441 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5 | 2800 | |
| 4.97 | 181 | 3.1% |
| 4.96 | 160 | 2.7% |
| 4.98 | 140 | 2.4% |
| 4.94 | 140 | 2.4% |
| 4.92 | 138 | 2.4% |
| 4.95 | 134 | 2.3% |
| 4.93 | 103 | 1.8% |
| 4.9 | 100 | 1.7% |
| 4.91 | 94 | 1.6% |
| Other values (70) | 1360 | |
| (Missing) | 501 | 8.6% |
| Value | Count | Frequency (%) |
| 1 | 2 | < 0.1% |
| 1.5 | 1 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 4 | 0.1% |
| 3.25 | 1 | < 0.1% |
| 3.5 | 3 | 0.1% |
| 3.56 | 1 | < 0.1% |
| 3.67 | 5 | 0.1% |
| 3.86 | 1 | < 0.1% |
| 4 | 23 |
| Value | Count | Frequency (%) |
| 5 | 2800 | |
| 4.99 | 71 | 1.2% |
| 4.98 | 140 | 2.4% |
| 4.97 | 181 | 3.1% |
| 4.96 | 160 | 2.7% |
| 4.95 | 134 | 2.3% |
| 4.94 | 140 | 2.4% |
| 4.93 | 103 | 1.8% |
| 4.92 | 138 | 2.4% |
| 4.91 | 94 | 1.6% |
renterTripsTaken
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 238 |
|---|---|
| Distinct (%) | 4.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 33.4773543 |
| Minimum | 0 |
|---|---|
| Maximum | 395 |
| Zeros | 431 |
| Zeros (%) | 7.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 5 |
| median | 18 |
| Q3 | 46 |
| 95-th percentile | 117 |
| Maximum | 395 |
| Range | 395 |
| Interquartile range (IQR) | 41 |
Descriptive statistics
| Standard deviation | 41.89895405 |
|---|---|
| Coefficient of variation (CV) | 1.25156109 |
| Kurtosis | 9.04885703 |
| Mean | 33.4773543 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 2.495920239 |
| Sum | 195876 |
| Variance | 1755.52235 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 431 | 7.4% |
| 1 | 292 | 5.0% |
| 3 | 214 | 3.7% |
| 2 | 212 | 3.6% |
| 4 | 173 | 3.0% |
| 5 | 162 | 2.8% |
| 6 | 144 | 2.5% |
| 7 | 142 | 2.4% |
| 9 | 138 | 2.4% |
| 8 | 122 | 2.1% |
| Other values (228) | 3821 |
| Value | Count | Frequency (%) |
| 0 | 431 | |
| 1 | 292 | |
| 2 | 212 | |
| 3 | 214 | |
| 4 | 173 | |
| 5 | 162 | 2.8% |
| 6 | 144 | 2.5% |
| 7 | 142 | 2.4% |
| 8 | 122 | 2.1% |
| 9 | 138 | 2.4% |
| Value | Count | Frequency (%) |
| 395 | 1 | |
| 370 | 1 | |
| 347 | 1 | |
| 346 | 1 | |
| 333 | 1 | |
| 325 | 1 | |
| 297 | 1 | |
| 296 | 1 | |
| 295 | 1 | |
| 292 | 1 |
| Distinct | 203 |
|---|---|
| Distinct (%) | 3.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.45479405 |
| Minimum | 0 |
|---|---|
| Maximum | 321 |
| Zeros | 501 |
| Zeros (%) | 8.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 4 |
| median | 16 |
| Q3 | 39 |
| 95-th percentile | 99 |
| Maximum | 321 |
| Range | 321 |
| Interquartile range (IQR) | 35 |
Descriptive statistics
| Standard deviation | 35.13611334 |
|---|---|
| Coefficient of variation (CV) | 1.234804697 |
| Kurtosis | 7.769007665 |
| Mean | 28.45479405 |
| Median Absolute Deviation (MAD) | 14 |
| Skewness | 2.350867079 |
| Sum | 166489 |
| Variance | 1234.54646 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 501 | 8.6% |
| 1 | 324 | 5.5% |
| 3 | 242 | 4.1% |
| 2 | 227 | 3.9% |
| 4 | 190 | 3.2% |
| 6 | 159 | 2.7% |
| 5 | 159 | 2.7% |
| 7 | 156 | 2.7% |
| 8 | 154 | 2.6% |
| 10 | 129 | 2.2% |
| Other values (193) | 3610 |
| Value | Count | Frequency (%) |
| 0 | 501 | |
| 1 | 324 | |
| 2 | 227 | |
| 3 | 242 | |
| 4 | 190 | 3.2% |
| 5 | 159 | 2.7% |
| 6 | 159 | 2.7% |
| 7 | 156 | 2.7% |
| 8 | 154 | 2.6% |
| 9 | 120 | 2.1% |
| Value | Count | Frequency (%) |
| 321 | 1 | |
| 285 | 1 | |
| 280 | 1 | |
| 262 | 1 | |
| 253 | 1 | |
| 248 | 1 | |
| 246 | 1 | |
| 243 | 1 | |
| 242 | 1 | |
| 237 | 1 |
| Distinct | 971 |
|---|---|
| Distinct (%) | 16.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 45.8 KiB |
| Las Vegas | 186 |
|---|---|
| Portland | 166 |
| San Diego | 163 |
| Phoenix | 137 |
| Orlando | 132 |
| Other values (966) |
Length
| Max length | 30 |
|---|---|
| Median length | 9 |
| Mean length | 8.970432405 |
| Min length | 4 |
Characters and Unicode
| Total characters | 52486 |
|---|---|
| Distinct characters | 56 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 423 ? |
|---|---|
| Unique (%) | 7.2% |
Sample
| 1st row | Seattle |
|---|---|
| 2nd row | Tijeras |
| 3rd row | Albuquerque |
| 4th row | Albuquerque |
| 5th row | Albuquerque |
Common Values
| Value | Count | Frequency (%) |
| Las Vegas | 186 | 3.2% |
| Portland | 166 | 2.8% |
| San Diego | 163 | 2.8% |
| Phoenix | 137 | 2.3% |
| Orlando | 132 | 2.3% |
| Austin | 126 | 2.2% |
| Miami | 119 | 2.0% |
| Honolulu | 114 | 1.9% |
| Los Angeles | 111 | 1.9% |
| San Antonio | 96 | 1.6% |
| Other values (961) | 4501 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| san | 390 | 4.9% |
| city | 233 | 2.9% |
| las | 187 | 2.3% |
| vegas | 187 | 2.3% |
| portland | 167 | 2.1% |
| diego | 164 | 2.1% |
| beach | 151 | 1.9% |
| miami | 144 | 1.8% |
| phoenix | 137 | 1.7% |
| orlando | 134 | 1.7% |
| Other values (953) | 6094 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 5228 | 10.0% |
| e | 4542 | 8.7% |
| n | 4185 | 8.0% |
| o | 4049 | 7.7% |
| i | 3363 | 6.4% |
| l | 3277 | 6.2% |
| r | 2660 | 5.1% |
| t | 2635 | 5.0% |
| s | 2517 | 4.8% |
| 2152 | 4.1% | |
| Other values (46) | 17878 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 42254 | |
| Uppercase Letter | 8047 | 15.3% |
| Space Separator | 2152 | 4.1% |
| Other Punctuation | 29 | 0.1% |
| Dash Punctuation | 3 | < 0.1% |
| Final Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 5228 | |
| e | 4542 | |
| n | 4185 | |
| o | 4049 | |
| i | 3363 | 8.0% |
| l | 3277 | 7.8% |
| r | 2660 | 6.3% |
| t | 2635 | 6.2% |
| s | 2517 | 6.0% |
| u | 1345 | 3.2% |
| Other values (16) | 8453 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 972 | |
| C | 776 | 9.6% |
| A | 709 | 8.8% |
| L | 637 | 7.9% |
| P | 621 | 7.7% |
| M | 620 | 7.7% |
| B | 476 | 5.9% |
| D | 433 | 5.4% |
| H | 368 | 4.6% |
| V | 283 | 3.5% |
| Other values (15) | 2152 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 24 | |
| ' | 5 | 17.2% |
Space Separator
| Value | Count | Frequency (%) |
| 2152 |
Final Punctuation
| Value | Count | Frequency (%) |
| ’ | 1 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 3 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 50301 | |
| Common | 2185 | 4.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 5228 | 10.4% |
| e | 4542 | 9.0% |
| n | 4185 | 8.3% |
| o | 4049 | 8.0% |
| i | 3363 | 6.7% |
| l | 3277 | 6.5% |
| r | 2660 | 5.3% |
| t | 2635 | 5.2% |
| s | 2517 | 5.0% |
| u | 1345 | 2.7% |
| Other values (41) | 16500 |
Common
| Value | Count | Frequency (%) |
| 2152 | ||
| . | 24 | 1.1% |
| ' | 5 | 0.2% |
| - | 3 | 0.1% |
| ’ | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 52485 | |
| Punctuation | 1 | < 0.1% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 5228 | 10.0% |
| e | 4542 | 8.7% |
| n | 4185 | 8.0% |
| o | 4049 | 7.7% |
| i | 3363 | 6.4% |
| l | 3277 | 6.2% |
| r | 2660 | 5.1% |
| t | 2635 | 5.0% |
| s | 2517 | 4.8% |
| 2152 | 4.1% | |
| Other values (45) | 17877 |
Punctuation
| Value | Count | Frequency (%) |
| ’ | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 45.8 KiB |
| US |
|---|
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 11702 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | US |
|---|---|
| 2nd row | US |
| 3rd row | US |
| 4th row | US |
| 5th row | US |
Common Values
| Value | Count | Frequency (%) |
| US | 5851 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| us | 5851 |
Most occurring characters
| Value | Count | Frequency (%) |
| U | 5851 | |
| S | 5851 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 11702 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| U | 5851 | |
| S | 5851 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 11702 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| U | 5851 | |
| S | 5851 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11702 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| U | 5851 | |
| S | 5851 |
| Distinct | 294 |
|---|---|
| Distinct (%) | 5.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.69150573 |
| Minimum | 20 |
|---|---|
| Maximum | 1500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 30 |
| Q1 | 45 |
| median | 69 |
| Q3 | 110 |
| 95-th percentile | 225 |
| Maximum | 1500 |
| Range | 1480 |
| Interquartile range (IQR) | 65 |
Descriptive statistics
| Standard deviation | 96.08092046 |
|---|---|
| Coefficient of variation (CV) | 1.025503003 |
| Kurtosis | 57.63689113 |
| Mean | 93.69150573 |
| Median Absolute Deviation (MAD) | 29 |
| Skewness | 6.041697797 |
| Sum | 548189 |
| Variance | 9231.543277 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 35 | 162 | 2.8% |
| 45 | 142 | 2.4% |
| 49 | 135 | 2.3% |
| 40 | 129 | 2.2% |
| 50 | 119 | 2.0% |
| 30 | 116 | 2.0% |
| 39 | 114 | 1.9% |
| 55 | 109 | 1.9% |
| 99 | 109 | 1.9% |
| 79 | 103 | 1.8% |
| Other values (284) | 4613 |
| Value | Count | Frequency (%) |
| 20 | 11 | 0.2% |
| 21 | 4 | 0.1% |
| 22 | 5 | 0.1% |
| 23 | 6 | 0.1% |
| 24 | 13 | 0.2% |
| 25 | 46 | |
| 26 | 40 | |
| 27 | 34 | |
| 28 | 39 | |
| 29 | 65 |
| Value | Count | Frequency (%) |
| 1500 | 1 | < 0.1% |
| 1485 | 1 | < 0.1% |
| 1400 | 1 | < 0.1% |
| 1200 | 1 | < 0.1% |
| 1199 | 6 | |
| 999 | 5 | |
| 990 | 1 | < 0.1% |
| 899 | 1 | < 0.1% |
| 800 | 1 | < 0.1% |
| 799 | 4 |
| Distinct | 54 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 45.8 KiB |
| Tesla | |
|---|---|
| Toyota | |
| BMW | |
| Ford | |
| Chevrolet | |
| Other values (49) |
Length
| Max length | 13 |
|---|---|
| Median length | 5 |
| Mean length | 6.144248846 |
| Min length | 3 |
Characters and Unicode
| Total characters | 35950 |
|---|---|
| Distinct characters | 47 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Tesla |
|---|---|
| 2nd row | Tesla |
| 3rd row | Toyota |
| 4th row | Ford |
| 5th row | Chrysler |
Common Values
| Value | Count | Frequency (%) |
| Tesla | 598 | 10.2% |
| Toyota | 591 | 10.1% |
| BMW | 456 | 7.8% |
| Ford | 436 | 7.5% |
| Chevrolet | 431 | 7.4% |
| Mercedes-Benz | 342 | 5.8% |
| Nissan | 291 | 5.0% |
| Jeep | 279 | 4.8% |
| Honda | 257 | 4.4% |
| Porsche | 187 | 3.2% |
| Other values (44) | 1983 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| tesla | 598 | 10.0% |
| toyota | 591 | 9.9% |
| bmw | 456 | 7.6% |
| ford | 436 | 7.3% |
| chevrolet | 431 | 7.2% |
| mercedes-benz | 391 | 6.5% |
| nissan | 291 | 4.9% |
| jeep | 279 | 4.7% |
| honda | 257 | 4.3% |
| porsche | 187 | 3.1% |
| Other values (46) | 2056 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 4496 | 12.5% |
| o | 3123 | 8.7% |
| a | 3069 | 8.5% |
| s | 2273 | 6.3% |
| r | 2045 | 5.7% |
| d | 1826 | 5.1% |
| n | 1526 | 4.2% |
| l | 1444 | 4.0% |
| i | 1265 | 3.5% |
| T | 1239 | 3.4% |
| Other values (37) | 13644 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 27792 | |
| Uppercase Letter | 7636 | 21.2% |
| Dash Punctuation | 400 | 1.1% |
| Space Separator | 122 | 0.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 4496 | |
| o | 3123 | |
| a | 3069 | |
| s | 2273 | |
| r | 2045 | 7.4% |
| d | 1826 | 6.6% |
| n | 1526 | 5.5% |
| l | 1444 | 5.2% |
| i | 1265 | 4.6% |
| t | 1200 | 4.3% |
| Other values (14) | 5525 |
Uppercase Letter
| Value | Count | Frequency (%) |
| T | 1239 | |
| M | 1125 | |
| B | 826 | |
| C | 598 | |
| F | 499 | 6.5% |
| W | 456 | 6.0% |
| H | 443 | 5.8% |
| N | 338 | 4.4% |
| J | 337 | 4.4% |
| A | 296 | 3.9% |
| Other values (11) | 1479 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 400 |
Space Separator
| Value | Count | Frequency (%) |
| 122 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 35428 | |
| Common | 522 | 1.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 4496 | 12.7% |
| o | 3123 | 8.8% |
| a | 3069 | 8.7% |
| s | 2273 | 6.4% |
| r | 2045 | 5.8% |
| d | 1826 | 5.2% |
| n | 1526 | 4.3% |
| l | 1444 | 4.1% |
| i | 1265 | 3.6% |
| T | 1239 | 3.5% |
| Other values (35) | 13122 |
Common
| Value | Count | Frequency (%) |
| - | 400 | |
| 122 | 23.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 35950 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 4496 | 12.5% |
| o | 3123 | 8.7% |
| a | 3069 | 8.5% |
| s | 2273 | 6.3% |
| r | 2045 | 5.7% |
| d | 1826 | 5.1% |
| n | 1526 | 4.2% |
| l | 1444 | 4.0% |
| i | 1265 | 3.5% |
| T | 1239 | 3.4% |
| Other values (37) | 13644 |
| Distinct | 526 |
|---|---|
| Distinct (%) | 9.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 45.8 KiB |
| Model 3 | 331 |
|---|---|
| Mustang | 151 |
| Model S | 130 |
| Wrangler | 123 |
| Model X | 114 |
| Other values (521) |
Length
| Max length | 23 |
|---|---|
| Median length | 7 |
| Mean length | 6.840369168 |
| Min length | 1 |
Characters and Unicode
| Total characters | 40023 |
|---|---|
| Distinct characters | 63 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 145 ? |
|---|---|
| Unique (%) | 2.5% |
Sample
| 1st row | Model X |
|---|---|
| 2nd row | Model X |
| 3rd row | Prius |
| 4th row | Mustang |
| 5th row | Sebring |
Common Values
| Value | Count | Frequency (%) |
| Model 3 | 331 | 5.7% |
| Mustang | 151 | 2.6% |
| Model S | 130 | 2.2% |
| Wrangler | 123 | 2.1% |
| Model X | 114 | 1.9% |
| C-Class | 109 | 1.9% |
| Corolla | 100 | 1.7% |
| 3 Series | 94 | 1.6% |
| Corvette | 78 | 1.3% |
| Camry | 77 | 1.3% |
| Other values (516) | 4544 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| model | 598 | 7.9% |
| 3 | 445 | 5.9% |
| series | 237 | 3.1% |
| wrangler | 172 | 2.3% |
| mustang | 152 | 2.0% |
| s | 131 | 1.7% |
| x | 114 | 1.5% |
| c-class | 109 | 1.4% |
| corolla | 105 | 1.4% |
| prius | 100 | 1.3% |
| Other values (473) | 5425 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 3396 | 8.5% |
| a | 3387 | 8.5% |
| r | 2828 | 7.1% |
| o | 2338 | 5.8% |
| l | 2072 | 5.2% |
| s | 2030 | 5.1% |
| n | 1872 | 4.7% |
| 1737 | 4.3% | |
| i | 1642 | 4.1% |
| C | 1502 | 3.8% |
| Other values (53) | 17219 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 27090 | |
| Uppercase Letter | 8176 | 20.4% |
| Decimal Number | 2424 | 6.1% |
| Space Separator | 1737 | 4.3% |
| Dash Punctuation | 596 | 1.5% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 1502 | |
| S | 1168 | |
| M | 982 | |
| R | 462 | 5.7% |
| X | 438 | 5.4% |
| E | 417 | 5.1% |
| A | 378 | 4.6% |
| G | 365 | 4.5% |
| F | 309 | 3.8% |
| T | 301 | 3.7% |
| Other values (16) | 1854 |
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 3396 | |
| a | 3387 | |
| r | 2828 | |
| o | 2338 | |
| l | 2072 | |
| s | 2030 | |
| n | 1872 | 6.9% |
| i | 1642 | 6.1% |
| t | 1497 | 5.5% |
| d | 1174 | 4.3% |
| Other values (15) | 4854 |
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 599 | |
| 0 | 507 | |
| 5 | 403 | |
| 4 | 261 | |
| 1 | 224 | 9.2% |
| 2 | 106 | 4.4% |
| 8 | 96 | 4.0% |
| 6 | 95 | 3.9% |
| 7 | 86 | 3.5% |
| 9 | 47 | 1.9% |
Space Separator
| Value | Count | Frequency (%) |
| 1737 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 596 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 35266 | |
| Common | 4757 | 11.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 3396 | 9.6% |
| a | 3387 | 9.6% |
| r | 2828 | 8.0% |
| o | 2338 | 6.6% |
| l | 2072 | 5.9% |
| s | 2030 | 5.8% |
| n | 1872 | 5.3% |
| i | 1642 | 4.7% |
| C | 1502 | 4.3% |
| t | 1497 | 4.2% |
| Other values (41) | 12702 |
Common
| Value | Count | Frequency (%) |
| 1737 | ||
| 3 | 599 | 12.6% |
| - | 596 | 12.5% |
| 0 | 507 | 10.7% |
| 5 | 403 | 8.5% |
| 4 | 261 | 5.5% |
| 1 | 224 | 4.7% |
| 2 | 106 | 2.2% |
| 8 | 96 | 2.0% |
| 6 | 95 | 2.0% |
| Other values (2) | 133 | 2.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 40023 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 3396 | 8.5% |
| a | 3387 | 8.5% |
| r | 2828 | 7.1% |
| o | 2338 | 5.8% |
| l | 2072 | 5.2% |
| s | 2030 | 5.1% |
| n | 1872 | 4.7% |
| 1737 | 4.3% | |
| i | 1642 | 4.1% |
| C | 1502 | 3.8% |
| Other values (53) | 17219 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 45.8 KiB |
| car | |
|---|---|
| suv | |
| minivan | 232 |
| truck | 191 |
| van | 55 |
Length
| Max length | 7 |
|---|---|
| Median length | 3 |
| Mean length | 3.223893352 |
| Min length | 3 |
Characters and Unicode
| Total characters | 18863 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | suv |
|---|---|
| 2nd row | suv |
| 3rd row | car |
| 4th row | car |
| 5th row | car |
Common Values
| Value | Count | Frequency (%) |
| car | 3659 | |
| suv | 1714 | |
| minivan | 232 | 4.0% |
| truck | 191 | 3.3% |
| van | 55 | 0.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| car | 3659 | |
| suv | 1714 | |
| minivan | 232 | 4.0% |
| truck | 191 | 3.3% |
| van | 55 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 3946 | |
| c | 3850 | |
| r | 3850 | |
| v | 2001 | |
| u | 1905 | |
| s | 1714 | |
| n | 519 | 2.8% |
| i | 464 | 2.5% |
| m | 232 | 1.2% |
| t | 191 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 18863 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 3946 | |
| c | 3850 | |
| r | 3850 | |
| v | 2001 | |
| u | 1905 | |
| s | 1714 | |
| n | 519 | 2.8% |
| i | 464 | 2.5% |
| m | 232 | 1.2% |
| t | 191 | 1.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 18863 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 3946 | |
| c | 3850 | |
| r | 3850 | |
| v | 2001 | |
| u | 1905 | |
| s | 1714 | |
| n | 519 | 2.8% |
| i | 464 | 2.5% |
| m | 232 | 1.2% |
| t | 191 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 18863 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 3946 | |
| c | 3850 | |
| r | 3850 | |
| v | 2001 | |
| u | 1905 | |
| s | 1714 | |
| n | 519 | 2.8% |
| i | 464 | 2.5% |
| m | 232 | 1.2% |
| t | 191 | 1.0% |
vehicleyear
Real number (ℝ≥0)
| Distinct | 34 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2015.340113 |
| Minimum | 1955 |
|---|---|
| Maximum | 2020 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 1955 |
|---|---|
| 5-th percentile | 2009 |
| Q1 | 2014 |
| median | 2016 |
| Q3 | 2018 |
| 95-th percentile | 2020 |
| Maximum | 2020 |
| Range | 65 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 4.050813478 |
|---|---|
| Coefficient of variation (CV) | 0.002009990002 |
| Kurtosis | 48.65109398 |
| Mean | 2015.340113 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | -4.467397477 |
| Sum | 11791755 |
| Variance | 16.40908983 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=34)
| Value | Count | Frequency (%) |
| 2018 | 828 | |
| 2019 | 769 | |
| 2017 | 707 | |
| 2016 | 685 | |
| 2015 | 627 | |
| 2014 | 453 | |
| 2013 | 371 | |
| 2020 | 324 | 5.5% |
| 2012 | 291 | 5.0% |
| 2011 | 238 | 4.1% |
| Other values (24) | 558 |
| Value | Count | Frequency (%) |
| 1955 | 1 | |
| 1957 | 1 | |
| 1961 | 1 | |
| 1965 | 2 | |
| 1966 | 2 | |
| 1968 | 1 | |
| 1969 | 1 | |
| 1972 | 1 | |
| 1976 | 1 | |
| 1979 | 1 |
| Value | Count | Frequency (%) |
| 2020 | 324 | 5.5% |
| 2019 | 769 | |
| 2018 | 828 | |
| 2017 | 707 | |
| 2016 | 685 | |
| 2015 | 627 | |
| 2014 | 453 | |
| 2013 | 371 | |
| 2012 | 291 | 5.0% |
| 2011 | 238 | 4.1% |
| Distinct | 46 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 68543.64135 |
| Minimum | 48924.00312 |
|---|---|
| Maximum | 90668.42188 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 48924.00312 |
|---|---|
| 5-th percentile | 56271.95246 |
| Q1 | 60887.88983 |
| median | 65407.01043 |
| Q3 | 78126.7378 |
| 95-th percentile | 87689.6041 |
| Maximum | 90668.42188 |
| Range | 41744.41876 |
| Interquartile range (IQR) | 17238.84798 |
Descriptive statistics
| Standard deviation | 9066.102436 |
|---|---|
| Coefficient of variation (CV) | 0.1322675927 |
| Kurtosis | -0.7781630751 |
| Mean | 68543.64135 |
| Median Absolute Deviation (MAD) | 6725.204125 |
| Skewness | 0.4808441228 |
| Sum | 401048845.5 |
| Variance | 82194213.38 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 78126.7378 | 966 | |
| 60887.88983 | 836 | |
| 65407.01043 | 499 | 8.5% |
| 73322.82129 | 238 | 4.1% |
| 65684.12075 | 233 | 4.0% |
| 60354.3912 | 230 | 3.9% |
| 62578.07131 | 223 | 3.8% |
| 57750.10492 | 219 | 3.7% |
| 88657.64414 | 211 | 3.6% |
| 77859.58696 | 200 | 3.4% |
| Other values (36) | 1996 |
| Value | Count | Frequency (%) |
| 48924.00312 | 4 | 0.1% |
| 52060.36176 | 4 | 0.1% |
| 52291.99597 | 4 | 0.1% |
| 53612.92586 | 24 | 0.4% |
| 55121.33125 | 51 | |
| 55250.16298 | 29 | 0.5% |
| 55432.26419 | 37 | 0.6% |
| 55715.24837 | 48 | |
| 56211.44295 | 28 | 0.5% |
| 56271.95246 | 118 |
| Value | Count | Frequency (%) |
| 90668.42188 | 12 | 0.2% |
| 89227.21972 | 23 | 0.4% |
| 88657.64414 | 211 | 3.6% |
| 87689.6041 | 72 | 1.2% |
| 84878.68358 | 46 | 0.8% |
| 79401.74013 | 145 | 2.5% |
| 78126.7378 | 966 | |
| 77859.58696 | 200 | 3.4% |
| 77670.20952 | 45 | 0.8% |
| 76113.50382 | 5 | 0.1% |
| Distinct | 46 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 88652.61973 |
| Minimum | 52381.60588 |
|---|---|
| Maximum | 125685.83 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 52381.60588 |
|---|---|
| 5-th percentile | 68207.05664 |
| Q1 | 75203.75677 |
| median | 85856.51304 |
| Q3 | 100581.7329 |
| 95-th percentile | 113988.2321 |
| Maximum | 125685.83 |
| Range | 73304.22407 |
| Interquartile range (IQR) | 25377.97615 |
Descriptive statistics
| Standard deviation | 15009.00471 |
|---|---|
| Coefficient of variation (CV) | 0.1693013106 |
| Kurtosis | -0.3603325534 |
| Mean | 88652.61973 |
| Median Absolute Deviation (MAD) | 13656.40901 |
| Skewness | 0.40347098 |
| Sum | 518706478 |
| Variance | 225270222.4 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 100581.7329 | 966 | |
| 75203.75677 | 836 | |
| 85856.51304 | 499 | 8.5% |
| 99512.92205 | 238 | 4.1% |
| 90228.09811 | 233 | 4.0% |
| 71669.21149 | 230 | 3.9% |
| 79373.54457 | 223 | 3.8% |
| 70692.51148 | 219 | 3.7% |
| 125685.83 | 211 | 3.6% |
| 95679.36232 | 200 | 3.4% |
| Other values (36) | 1996 |
| Value | Count | Frequency (%) |
| 52381.60588 | 4 | 0.1% |
| 57423.01246 | 4 | 0.1% |
| 59831.22505 | 37 | 0.6% |
| 61972.66667 | 51 | |
| 62771.24144 | 24 | 0.4% |
| 63566.33468 | 4 | 0.1% |
| 64374.3501 | 29 | 0.5% |
| 65054.75082 | 118 | |
| 66040.71338 | 13 | 0.2% |
| 68207.05664 | 48 |
| Value | Count | Frequency (%) |
| 125685.83 | 211 | 3.6% |
| 120557.3493 | 23 | 0.4% |
| 118008.0388 | 46 | 0.8% |
| 113988.2321 | 72 | 1.2% |
| 109378.0805 | 198 | 3.4% |
| 108911.6952 | 45 | 0.8% |
| 105751.9817 | 16 | 0.3% |
| 103971.8637 | 145 | 2.5% |
| 101146.0076 | 5 | 0.1% |
| 100581.7329 | 966 |
| Distinct | 46 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 48071.81197 |
| Minimum | 39858.7757 |
|---|---|
| Maximum | 62519.21875 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 45.8 KiB |
Quantile statistics
| Minimum | 39858.7757 |
|---|---|
| 5-th percentile | 42670.00164 |
| Q1 | 44747.91321 |
| median | 46045.53391 |
| Q3 | 52302.68841 |
| 95-th percentile | 54828.65529 |
| Maximum | 62519.21875 |
| Range | 22660.44305 |
| Interquartile range (IQR) | 7554.775198 |
Descriptive statistics
| Standard deviation | 4386.390204 |
|---|---|
| Coefficient of variation (CV) | 0.09124661676 |
| Kurtosis | -0.6397604627 |
| Mean | 48071.81197 |
| Median Absolute Deviation (MAD) | 2717.886772 |
| Skewness | 0.6371134389 |
| Sum | 281268171.8 |
| Variance | 19240419.02 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 53652.97896 | 966 | |
| 45366.67249 | 836 | |
| 46045.53391 | 499 | 8.5% |
| 49529.67681 | 238 | 4.1% |
| 44747.91321 | 233 | 4.0% |
| 44740.78484 | 230 | 3.9% |
| 43626.81686 | 223 | 3.8% |
| 43425.34208 | 219 | 3.7% |
| 57617.36261 | 211 | 3.6% |
| 52302.68841 | 200 | 3.4% |
| Other values (36) | 1996 |
| Value | Count | Frequency (%) |
| 39858.7757 | 4 | 0.1% |
| 40817.95882 | 4 | 0.1% |
| 41619.24857 | 49 | |
| 41725.63878 | 24 | 0.4% |
| 42072.82244 | 38 | |
| 42122.94631 | 28 | |
| 42184.15493 | 29 | |
| 42231.50403 | 4 | 0.1% |
| 42322.26458 | 51 | |
| 42550.54514 | 61 |
| Value | Count | Frequency (%) |
| 62519.21875 | 12 | 0.2% |
| 58260.86716 | 46 | 0.8% |
| 58091.32394 | 23 | 0.4% |
| 57617.36261 | 211 | 3.6% |
| 54828.65529 | 72 | 1.2% |
| 53652.97896 | 966 | |
| 52377 | 16 | 0.3% |
| 52302.68841 | 200 | 3.4% |
| 52030.84733 | 5 | 0.1% |
| 51760.06667 | 45 | 0.8% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| State_ab | fuelType | rating | renterTripsTaken | reviewCount | locationcity | locationcountry | ratedaily | vehiclemake | vehiclemodel | vehicletype | vehicleyear | Mean | Median | Stdev | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | WA | ELECTRIC | 5.00 | 13 | 12 | Seattle | US | 135 | Tesla | Model X | suv | 2019 | 74067.361919 | 99918.09157 | 49940.72093 |
| 1 | NM | ELECTRIC | 5.00 | 2 | 1 | Tijeras | US | 190 | Tesla | Model X | suv | 2018 | 57127.075000 | 82390.76250 | 43344.75000 |
| 2 | NM | HYBRID | 4.92 | 28 | 24 | Albuquerque | US | 35 | Toyota | Prius | car | 2012 | 57127.075000 | 82390.76250 | 43344.75000 |
| 3 | NM | GASOLINE | 5.00 | 21 | 20 | Albuquerque | US | 75 | Ford | Mustang | car | 2018 | 57127.075000 | 82390.76250 | 43344.75000 |
| 4 | NM | GASOLINE | 5.00 | 3 | 1 | Albuquerque | US | 47 | Chrysler | Sebring | car | 2010 | 57127.075000 | 82390.76250 | 43344.75000 |
| 5 | NM | GASOLINE | 5.00 | 13 | 12 | Albuquerque | US | 58 | Mercedes-Benz | GL-Class | suv | 2012 | 57127.075000 | 82390.76250 | 43344.75000 |
| 6 | NM | GASOLINE | 4.42 | 13 | 12 | Albuquerque | US | 42 | GMC | Yukon XL | suv | 2005 | 57127.075000 | 82390.76250 | 43344.75000 |
| 7 | NM | GASOLINE | 4.90 | 12 | 10 | Albuquerque | US | 117 | Ford | Expedition | suv | 2018 | 57127.075000 | 82390.76250 | 43344.75000 |
| 8 | NM | GASOLINE | 5.00 | 1 | 1 | Albuquerque | US | 102 | Ford | Focus RS | car | 2016 | 57127.075000 | 82390.76250 | 43344.75000 |
| 9 | NM | GASOLINE | 4.76 | 22 | 17 | Albuquerque | US | 49 | Ford | EcoSport | suv | 2018 | 57127.075000 | 82390.76250 | 43344.75000 |
Last rows
| State_ab | fuelType | rating | renterTripsTaken | reviewCount | locationcity | locationcountry | ratedaily | vehiclemake | vehiclemodel | vehicletype | vehicleyear | Mean | Median | Stdev | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5841 | HI | GASOLINE | NaN | 0 | 0 | Schofield Barracks | US | 165 | Land Rover | Range Rover Velar | suv | 2018 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5842 | HI | GASOLINE | 5.00 | 7 | 6 | Mililani | US | 51 | Acura | RDX | suv | 2008 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5843 | HI | GASOLINE | 5.00 | 3 | 3 | Waipahu | US | 69 | Ford | Transit Van | van | 2015 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5844 | HI | GASOLINE | 4.88 | 27 | 24 | Honolulu | US | 68 | Lexus | IS 250 C | car | 2011 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5845 | HI | GASOLINE | 5.00 | 2 | 2 | Mililani | US | 50 | Nissan | Rogue | suv | 2014 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5846 | HI | GASOLINE | 5.00 | 32 | 27 | Honolulu | US | 33 | Chevrolet | Cruze | car | 2017 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5847 | HI | HYBRID | 5.00 | 17 | 16 | Aiea | US | 49 | Lexus | HS 250h | car | 2010 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5848 | HI | GASOLINE | 4.94 | 18 | 17 | Kailua | US | 35 | smart | fortwo | car | 2013 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5849 | HI | GASOLINE | NaN | 1 | 0 | Waipahu | US | 77 | GMC | Savana | van | 2015 | 77859.586957 | 95679.362319 | 52302.688406 |
| 5850 | HI | GASOLINE | 5.00 | 16 | 14 | Kailua | US | 35 | smart | fortwo | car | 2013 | 77859.586957 | 95679.362319 | 52302.688406 |
Most frequently occurring
| State_ab | fuelType | rating | renterTripsTaken | reviewCount | locationcity | locationcountry | ratedaily | vehiclemake | vehiclemodel | vehicletype | vehicleyear | Mean | Median | Stdev | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | TX | GASOLINE | 5.00 | 4 | 3 | Bedford | US | 35 | Nissan | Sentra | car | 2019 | 65407.010435 | 85856.513043 | 46045.533913 | 3 |
| 0 | MN | GASOLINE | 4.88 | 13 | 8 | Bloomington | US | 39 | Ford | Escape | suv | 2012 | 71403.998440 | 88461.725429 | 49469.213729 | 2 |